Design-to-Simulation
Equipment datasheets and design specs become high-fidelity digital twin models of the target machine.
Baseer Platform
Baseer بصير
Industrial AI Validation & Predictive Intelligence Platform
Baseer is Predicto's flagship industrial AI platform, combining Hardware-in-the-Loop (HIL) digital twins with explainable AI to move industrial maintenance from reactive to predictive — and prescriptive.
The Problem
Why Reactive Maintenance Falls Short
- SCADA systems are reactive and alarm-based — built for monitoring and control, not for forecasting failures or estimating remaining useful life.
- Existing AI-based predictive maintenance tools rely on historical failure data, struggle with early-stage and rare faults, act as unexplainable "black boxes," and integrate poorly with SCADA, CMMS, and SAP.
- The result: fragmented asset data, high false-alarm rates, limited root-cause insight, and costly, hard-to-scale deployments.
Our Solution
One Platform, Two Engines, One Copilot
Engine 1 — HIL Digital Twin & Data Factory
dSPACE/MicroAutoBox-based HIL simulation generates safe, representative operating and fault data (50+ injectable fault types) across realistic scenarios and environmental conditions.
Engine 2 — AI Predictive Maintenance
Models trained on this data deliver anomaly detection, Remaining Useful Life (RUL) estimation, fault classification, root-cause analysis, and weeks-ahead failure prediction.
Maintenance Copilot (LLM-powered)
A conversational assistant grounded in ISO guides, expert knowledge, and plant manuals via RAG — explaining every prediction in plain language, auto-generating technical reports, and recommending ISO-aligned corrective actions.
Why Baseer Is Different
Built for Trust, Validation & Scale
- The only platform that owns the full chain: HIL simulation, fault-data generation, AI model training, in-HIL AI validation, explainable deployment, and sovereign/in-Kingdom delivery — no competitor covers all six.
- Explainability by design: every alert comes with a confidence score, a plain-language reason, and a recommended action — not just a black-box score.
Measurable Value
Illustrative Impact at Enterprise Scale
Coverage & Fit
Industry-Agnostic, Enterprise-Ready
- 50+ industry-agnostic fault scenarios — bearing wear, shaft imbalance, seal leakage, overheating, cavitation, corrosion, sensor drift, lubrication failure, fatigue cracks, and more — applicable across oil & gas, power, manufacturing, and mobility assets.
- Built for enterprise integration with SCADA, CMMS, and SAP, and designed to scale across large, multi-site industrial asset bases.